@prefix this: <http://rdf.disgenet.org/nanopublications.trig#NP679610.RAvE4Ss7GwpA8lGY549715hrb2DbZRcpeM6qDV9KJjsAQ> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
@prefix sio: <http://semanticscience.org/resource/> .
@prefix ncit: <http://ncicb.nci.nih.gov/xml/owl/EVS/Thesaurus.owl#> .
@prefix lld: <http://linkedlifedata.com/resource/umls/id/> .
@prefix miriam-gene: <http://identifiers.org/ncbigene/> .
@prefix miriam-pubmed: <http://identifiers.org/pubmed/> .
@prefix eco: <http://purl.obolibrary.org/obo/eco.owl#> .
@prefix wi: <http://purl.org/ontology/wi/core#> .
@prefix prov: <http://www.w3.org/ns/prov#> .
@prefix pav: <http://purl.org/pav/2.0/> .
@prefix prv: <http://purl.org/net/provenance/ns#> .
@prefix dcterms: <http://purl.org/dc/terms/> .
@prefix np: <http://www.nanopub.org/nschema#> .
@prefix dgn-np: <http://rdf.disgenet.org/nanopublications.trig#> .
@prefix dgn-gda: <http://rdf.disgenet.org/gene-disease-association.ttl#> .
@prefix dgn-void: <http://rdf.disgenet.org/v2.1.0/void.ttl#> .

dgn-np:NP679610.RAvE4Ss7GwpA8lGY549715hrb2DbZRcpeM6qDV9KJjsAQ130_head {
  this: np:hasAssertion dgn-np:NP679610.RAvE4Ss7GwpA8lGY549715hrb2DbZRcpeM6qDV9KJjsAQ130_assertion;
    np:hasProvenance dgn-np:NP679610.RAvE4Ss7GwpA8lGY549715hrb2DbZRcpeM6qDV9KJjsAQ130_provenance;
    np:hasPublicationInfo dgn-np:NP679610.RAvE4Ss7GwpA8lGY549715hrb2DbZRcpeM6qDV9KJjsAQ130_publicationInfo;
    a np:Nanopublication .
  
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  dgn-np:NP679610.RAvE4Ss7GwpA8lGY549715hrb2DbZRcpeM6qDV9KJjsAQ130_publicationInfo a
      np:PublicationInfo .
}

dgn-np:NP679610.RAvE4Ss7GwpA8lGY549715hrb2DbZRcpeM6qDV9KJjsAQ130_assertion {
  miriam-gene:4135 a ncit:C16612 .
  
  lld:C0006826 a ncit:C7057 .
  
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dgn-np:NP679610.RAvE4Ss7GwpA8lGY549715hrb2DbZRcpeM6qDV9KJjsAQ130_provenance {
  dgn-np:NP679610.RAvE4Ss7GwpA8lGY549715hrb2DbZRcpeM6qDV9KJjsAQ130_assertion dcterms:description
      "[Integrating our driver predictions with information on somatic copy number alterations, we find that the distribution and potency of TSGs (STOP genes), OGs, and essential genes (GO genes) on chromosomes can predict the complex patterns of aneuploidy and copy number variation characteristic of cancer genomes.]. Sentence from MEDLINE/PubMed, a database of the U.S. National Library of Medicine."@en;
    wi:evidence dgn-void:source_evidence_literature;
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    prov:wasDerivedFrom dgn-void:befree-20140225;
    prov:wasGeneratedBy eco:ECO_0000203 .
  
  dgn-void:befree-20140225 pav:importedOn "2014-02-25"^^xsd:date .
  
  dgn-void:source_evidence_literature a eco:ECO_0000212;
    rdfs:comment "Gene-disease associations inferred from text-mining the literature."@en;
    rdfs:label "DisGeNET evidence - LITERATURE"@en .
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dgn-np:NP679610.RAvE4Ss7GwpA8lGY549715hrb2DbZRcpeM6qDV9KJjsAQ130_publicationInfo {
  this: dcterms:created "2014-10-02T12:38:50+02:00"^^xsd:dateTime;
    dcterms:rights <http://opendatacommons.org/licenses/odbl/1.0/>;
    dcterms:rightsHolder dgn-void:IBIGroup;
    dcterms:subject sio:SIO_000983;
    prv:usedData dgn-void:disgenetrdf;
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    pav:version "v2.1.0.0" .
  
  dgn-void:disgenetrdf pav:version "v2.1.0" .
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